菜单
Synthesize confirmed co-design, design-elicitation, prototype-feedback, or participant-generated design outputs into requirements, design principles, prototype changes, participant contribution maps, and design decision logs.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | codesign-output-synthesis |
| description | Synthesize confirmed co-design, design-elicitation, prototype-feedback, or participant-generated design outputs into requirements, design principles, prototype changes, participant contribution maps, and design decision logs. |
Use when the user provides materials that are explicitly intended to inform design, such as co-design workshop notes, concept-card responses, design-elicitation interview findings, sticky-note outputs, activity artifacts, prototype feedback, or participant-generated ideas.
For the current dissertation, co-design is not the main study identity unless a fuller co-design activity is later confirmed. If the material is ordinary interview data, use qualitative-theme-audit first and call this skill only for the design-implication synthesis.
Create or update the path that fits the evidence type:
design-synthesis/DESIGN_ELICITATION_SYNTHESIS.mddesign-synthesis/REQUIREMENTS_TRACEABILITY.mddesign-synthesis/DESIGN_PRINCIPLES.mddesign-synthesis/PROTOTYPE_ITERATION_LOG.mdcodesign/CODESIGN_SYNTHESIS.md only when co-design is confirmedUse columns:
Read ../dissertation-shared/references/privacy-and-ethics.md.
Do not overstate consensus. Mark minority views and tensions explicitly.
Do not label the dissertation as a co-design study unless the method and supervisor feedback support that claim.
Design and review active learning implementation support for university teachers, including classroom activity structures, preparation workflow, student participation, assessment alignment, and AI-agent support points.
Turn dissertation evidence into an AI agent design specification for supporting active learning implementation, including user scenarios, functions, interaction flow, boundaries, failure modes, and design rationale.
Design specifications for dissertation figures such as conceptual frameworks, concept-card/interview process diagrams, AI-agent workflow diagrams, adoption-condition models, and findings maps.
Maintain a lightweight dissertation research wiki with project memory, literature notes, methodology decisions, supervisor feedback, design rationale, and open questions.
Audit an AI agent prototype or design concept for usability, pedagogical fit, teacher feedback, active learning support, evidence quality, and next design iterations.
Build and audit a teacher adoption conditions model for an AI agent supporting active learning, distinguishing perceptions, concerns, barriers, enablers, institutional conditions, and design implications.